HES 505 Fall 2022: Session 15
Matt Williamson
Update on assignments
Refresher: Building a spatial analysis workflow
Building a database for an analysis (part 2) based on location
Assignment 2 due by 14 Oct
Self-assessment due 18 Oct
Resubmits
Final Project
By the end of today you should be able to:
Create new features based on topological relationships
Use topological subsetting to reduce features
Use spatial joins to add attributes based on location
“The process of examining the locations, attributes, and relationships of features in spatial data through overlay and other analytical techniques in order to address a question or gain useful knowledge. Spatial analysis extracts or creates new information from spatial data”.
Align processing with objectives
Imagining the visualizations and analysis clarifies file formats and variables
Helps build reproducibility
Attributes: Information that further describes a spatial feature
Attributes → predictors for analysis
Last week focus on thematic relations between datasets
Sometimes we are interested in attributes that describe location (overlaps, contains, distance)
Sometimes we want to join based on location rather than thematic connections